{"id":"W2091031289","doi":"10.4028/www.scientific.net/amr.482-484.612","title":"Analysis of Functional Modules in Protein Networks Using Graph Clustering Method","year":2012,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Modularity (biology); Protein Interaction Networks; Cluster analysis; Computer science; Graph; Hierarchical clustering; Clustering coefficient; Interaction network; Relevance (law); Computational biology; Data mining; Theoretical computer science; Protein–protein interaction; Artificial intelligence; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705621,0.0005757992,0.0004254954,0.007604375,0.0005508935,0.0006004128,0.0004971211,0.0004182112,0.001366375],"category_scores_gemma":[0.002276205,0.0002139224,0.0008550602,0.003021826,0.0003997746,0.0007781227,0.0005618462,0.0003676255,0.0003978947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258421,"about_ca_system_score_gemma":0.000589117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003169153,"about_ca_topic_score_gemma":0.002687844,"domain_scores_codex":[0.9995498,0.0001110453,0.00003018127,0.0001213138,0.0001347951,0.00005286626],"domain_scores_gemma":[0.9990439,0.000372679,0.0001760845,0.0000910017,0.0002532077,0.00006309812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009035204,0.0003955222,0.051167,0.0009919058,0.001045782,0.0008643927,0.00113886,0.1771951,0.2210929,0.03962384,0.006259643,0.4993216],"study_design_scores_gemma":[0.00004637385,0.0001307074,0.02940483,0.00004042231,0.0001823947,0.0005699386,0.0001874287,0.918926,0.02612543,0.02004833,0.004259178,0.00007894606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.251023,0.0004820199,0.7429328,0.000123842,0.00002330091,0.0002070489,0.001313191,0.002327326,0.001567431],"genre_scores_gemma":[0.6725628,0.00022407,0.324151,0.00002281559,0.00001699185,0.0001933847,0.001911966,0.000145561,0.0007712936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007604375,"threshold_uncertainty_score":0.006301403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108900352252874,"score_gpt":0.3677050958059094,"score_spread":0.3166160922833806,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}